Probabilistic Tsunami Hazard and Risk Analysis

Dr. Katsuichiro Goda is an Associate Professor in the Departments of Earth Sciences and Statistical & Actuarial Sciences and Canada Research Chair in Multi-Hazard Risk Assessment at Western University, Canada. His research focuses on catastrophic multi-hazard risk management from economic and societal viewpoints. He has extensive expertise in developing natural catastrophe models, applying them to insurance risk quantification, and evaluating communities' socioeconomic vulnerability.Dr. Raffaele De Risi is a is a Associate Professor in the School of Civil, Aerospace and Design Engineering at Bristol University, United Kingdom. His research interests are broad and multidisciplinary and cover a wide range of academic fields, including structural reliability, engineering seismology, earthquake engineering, tsunami engineering, and decision-making under uncertainty. He has internationally recognized expertise in developing probabilistic tools for managing risks caused by extreme loads on the built environment. Dr. Aditya Riadi Gusman is a Tsunami Scientist at the GNS Science, New Zealand. He has extensive experience in physical oceanography and the numerical modeling of tsunami generation processes, including those from seismic and non-seismic sources such as submarine landslides and volcanic eruptions. His expertise extends to advanced numerical methods, tsunami sediment transport modeling, and machine learning techniques related to real-time tsunami forecasting and tsunami early warning. Dr. Ioan Nistor is a Professor of Hydraulic and Coastal Engineering in the Department of Civil Engineering at the University of Ottawa, Canada. He is a coastal and hydraulic engineer researching hazards associated with extreme hydrodynamic and debris loading on infrastructure. His research expertise broadly spans from tsunami impact on infrastructure, extreme wave and flood forces on structures, and dam failure phenomena.

• 1. Introduction of Probabilistic Tsunami Hazard and Risk Analysis - Towards Disaster Risk Reduction and ResilienceSection 1: Fundamentals of Probabilistic Tsunami Hazard and Risk Analysis2. Tsunami Generation3. Tsunami Propagation and Runup4. Tsunami Effects on Built Environment5. Probabilistic Tsunami Hazard and Risk Assessments6. Tsunami Disaster Risk Reduction and ManagementSection 2: Advanced Topics and Applications related to Probabilistic Tsunami Hazard and Risk Analysis7. Historical Tsunami Records and Paleo Tsunamis8. Informing Megathrust Tsunami Source Models with Knowledge of Tectonics and Fault Mechanics9. Tsunamis Triggered by Splay Faulting10. Tsunami Hazard from Subaerial Landslides11. Dense Tsunami Monitoring System12. Machine Learning Approaches for Tsunami Early Warning13. Global Tsunami Hazards and Risks14. Probabilistic Tsunami Hazard Assessment for New Zealand15. Tsunami Hazard and Risk in the Mediterranean Sea16. Tsunami Hazard Assessment in Chile17. Uncertainty in Empirical Tsunami Fragility Curves18. Analytical Tsunami Fragility Curves19. Modeling and Uncertainty in Probabilistic Tsunami Hazard and Risk Assessment20. Multi-hazard Risk Assessments21. Dynamic Agent-based Evacuation22. Sea Level Rise and Tsunami Risk23. Long-term Tsunami Risk Considering Time-dependent Earthquake Hazard and Nonstationary Sea Level Rise24. Digital Twin Paradigm for Coastal Disaster Risk Reduction and ResilienceAppendix